MiniMax M2.5 vs Qwen3 Coder 480B A35B
Updated October 21, 2026. 46 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick MiniMax M2.5 for coding: it scores 59.4 on the Vibe Coding Index against 50.0 for Qwen3 Coder 480B A35B.
Pick Qwen3 Coder 480B A35B when the context window is larger, 262K against 205K tokens, or when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 46
- MiniMax M2.5 only
- 21
- Qwen3 Coder 480B A35B only
- 6
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, four public coding benchmarks
MiniMax M2.5
MiniMax M2.5 scores 59.4 against 50.0.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
MiniMax M2.5
MiniMax M2.5 leads, 22.8 against 11.9.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only MiniMax M2.5 has a GPQA Diamond result, 82.1%.
Directional only
Math
AIME
No call
Only MiniMax M2.5 has a AIME result, 88.8%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M2.5 has a MMLU Pro result, 80.1%.
Directional only
Web design
Design Arena: websites
MiniMax M2.5
MiniMax M2.5 leads, 1222 against 1159.
Same board, both measured
Long documents
Listed context window
Qwen3 Coder 480B A35B
Qwen3 Coder 480B A35B takes 262K tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2.5
MiniMax M2.5 $0.0007, Qwen3 Coder 480B A35B $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M2.5 has the number, $0.62.
Directional only
At a glance
- Coding index
- MiniMax M2.5 59.4 from 2 benchmarks, Qwen3 Coder 480B A35B 50.0 from 2 benchmarks.
- Widest category
- Agentic work, 51.8 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: MiniMax M2.5 95.3% against Qwen3 Coder 480B A35B 43.6%, 51.8 points apart on a 0 to 100 scale.
- Output price
- MiniMax M2.5 $0.95 against Qwen3 Coder 480B A35B $1.00 per million output tokens, 1.1x apart.
- Context window
- MiniMax M2.5 takes 205K tokens, Qwen3 Coder 480B A35B 262K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | MiniMax M2.5 | Bars | Qwen3 Coder 480B A35B | Ties |
|---|---|---|---|---|
| Coding | 7 | 2 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 5 | 0 | ||
| General | 8 | 11 | ||
| All shared boards | 33 | 13 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index72
| Benchmark | MiniMax M2.5 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| SWE-bench Verified | 75.8% | 69.6% | MiniMax M2.5 |
| SWE-bench Multilingual | 68.3% | Not measured | Only MiniMax M2.5 measured |
| LMArena WebDev | 1386 | 1275 | MiniMax M2.5 |
| LiveCodeBench (Vals AI) | 79.2% | Not measured | Only MiniMax M2.5 measured |
| SWE-bench Verified (Vals AI) | 74.2% | Not measured | Only MiniMax M2.5 measured |
| Vibe Code Bench (Vals AI) | 14.8% | Not measured | Only MiniMax M2.5 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 58.5% | Only Qwen3 Coder 480B A35B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 34.8% | 18.9% | MiniMax M2.5 |
| Terminal-Bench | 42.7% | 27.2% | MiniMax M2.5 |
| GSO-Bench | Not measured | 4.9% | Only Qwen3 Coder 480B A35B measured |
| WeirdML | Not measured | 41.2% | Only Qwen3 Coder 480B A35B measured |
| ALE-Bench | 618.2 | 461.4 | MiniMax M2.5 |
| LMArena Text: coding | 1380 | 1412 | Qwen3 Coder 480B A35B |
| LMArena Text: software and IT | 1383 | 1393 | Qwen3 Coder 480B A35B |
| LMArena WebDev: React | 1374 | 1257 | MiniMax M2.5 |
| LMArena WebDev: HTML | 1414 | 1287 | MiniMax M2.5 |
| Neither model has a result on the other 22 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | MiniMax M2.5 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.8 | 11.9 | MiniMax M2.5 |
| Epoch Capabilities Index | 146.6 | Not measured | Only MiniMax M2.5 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | MiniMax M2.5 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 95.3% | 43.6% | MiniMax M2.5 |
| Vending-Bench 2 | -$23 | Not measured | Only MiniMax M2.5 measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | MiniMax M2.5 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| GPQA Diamond | 82.1% | Not measured | Only MiniMax M2.5 measured |
| GPQA Diamond (Artificial Analysis run) | 84.8% | 61.8% | MiniMax M2.5 |
| Humanity's Last Exam (Artificial Analysis run) | 20.5% | 4.5% | MiniMax M2.5 |
| ARC-AGI | 63.7% | Not measured | Only MiniMax M2.5 measured |
| ARC-AGI-2 | 4.9% | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: hard prompts | 1372 | 1372 | MiniMax M2.5 |
| LMArena Text: expert | 1378 | 1338 | MiniMax M2.5 |
| LMArena Text: hard prompts in English | 1384 | 1380 | MiniMax M2.5 |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | MiniMax M2.5 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| AIME | 88.8% | Not measured | Only MiniMax M2.5 measured |
| AA Math Index | Not measured | 39.3 | Only Qwen3 Coder 480B A35B measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 39.3% | Only Qwen3 Coder 480B A35B measured |
| ProofBench | 4.0% | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: math | 1378 | 1365 | MiniMax M2.5 |
| LMArena Text: mathematical work | 1378 | 1367 | MiniMax M2.5 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | MiniMax M2.5 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| MMLU Pro | 80.1% | Not measured | Only MiniMax M2.5 measured |
| LegalBench (Vals AI) | 80.0% | Not measured | Only MiniMax M2.5 measured |
| CaseLaw (Vals AI) | 53.5% | Not measured | Only MiniMax M2.5 measured |
| CorpFin (Vals AI) | 59.6% | Not measured | Only MiniMax M2.5 measured |
| TaxEval (Vals AI) | 68.2% | Not measured | Only MiniMax M2.5 measured |
| MedQA (Vals AI) | 92.5% | Not measured | Only MiniMax M2.5 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 78.8% | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: science | 1369 | 1347 | MiniMax M2.5 |
| LMArena Text: medicine and healthcare | 1357 | 1347 | MiniMax M2.5 |
| LMArena Text: legal and government | 1366 | 1358 | MiniMax M2.5 |
| LMArena Text: business and finance | 1356 | 1343 | MiniMax M2.5 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | MiniMax M2.5 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| Design Arena: websites | 1222 | 1159 | MiniMax M2.5 |
| Design Arena: UI components | 1172 | 1112 | MiniMax M2.5 |
| Design Arena: game dev | 1176 | 1099 | MiniMax M2.5 |
| Design Arena: data viz | 1171 | 1084 | MiniMax M2.5 |
| Design Arena: 3D | 1170 | Not measured | Only MiniMax M2.5 measured |
| Design Arena: all code categories | 1207 | 1143 | MiniMax M2.5 |
| Design Arena: SVG | 1147 | Not measured | Only MiniMax M2.5 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index811
| Benchmark | MiniMax M2.5 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| IFBench | 71.6% | 40.5% | MiniMax M2.5 |
| Long context reasoning (AA-LCR) | 73.3% | 45.7% | MiniMax M2.5 |
| CL-bench | 11.4% | Not measured | Only MiniMax M2.5 measured |
| CL-bench Life | 6.3% | Not measured | Only MiniMax M2.5 measured |
| LMArena Text | 1359 | 1357 | MiniMax M2.5 |
| LMArena Text: instruction following | 1353 | 1355 | Qwen3 Coder 480B A35B |
| LMArena Text: creative writing | 1331 | 1333 | Qwen3 Coder 480B A35B |
| LMArena Text: English | 1380 | 1359 | MiniMax M2.5 |
| LMArena Text: non-English | 1338 | 1346 | Qwen3 Coder 480B A35B |
| LMArena Text: Chinese | 1393 | 1357 | MiniMax M2.5 |
| LMArena Text: German | 1361 | 1325 | MiniMax M2.5 |
| LMArena Text: Japanese | 1171 | 1311 | Qwen3 Coder 480B A35B |
| LMArena Text: Korean | 1233 | 1305 | Qwen3 Coder 480B A35B |
| LMArena Text: French | 1363 | 1398 | Qwen3 Coder 480B A35B |
| LMArena Text: Spanish | 1353 | 1360 | Qwen3 Coder 480B A35B |
| LMArena Text: Russian | 1359 | 1366 | Qwen3 Coder 480B A35B |
| LMArena Text: Polish | 1334 | 1344 | Qwen3 Coder 480B A35B |
| LMArena Text: multi-turn | 1364 | 1366 | Qwen3 Coder 480B A35B |
| LMArena Text: longer queries | 1366 | 1378 | Qwen3 Coder 480B A35B |
| LMArena Text: writing and language | 1345 | 1340 | MiniMax M2.5 |
| LMArena Text: entertainment and media | 1329 | 1317 | MiniMax M2.5 |
| Neither model has a result on the other 25 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | MiniMax M2.5 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
MiniMax M2.5 costs less
Repository review
50K input + 3K output tokens
MiniMax M2.5 costs less
Agent loop
200K input + 10K output tokens
MiniMax M2.5 costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | MiniMax M2.5 | Qwen3 Coder 480B A35B |
|---|---|---|
| Maker | MiniMax | Qwen |
| Weights | Open weights | Open weights |
| Released | February 12, 2026 | July 23, 2025 |
| Context window | 205K | 262K |
| Input $/Mtok | $0.27 | $0.30 |
| Output $/Mtok | $0.95 | $1.00 |
| Coding index | 59.4 | 50.0 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $0.62 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is MiniMax M2.5 better than Qwen3 Coder 480B A35B for coding?
Pick MiniMax M2.5 for coding: it scores 59.4 on the Vibe Coding Index against 50.0 for Qwen3 Coder 480B A35B. Pick Qwen3 Coder 480B A35B when the context window is larger, 262K against 205K tokens, or when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, MiniMax M2.5 or Qwen3 Coder 480B A35B?
MiniMax M2.5 costs $0.27 per million input tokens and $0.95 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.00. Cost per solved task is known for MiniMax M2.5 only.
Which has the bigger context window, MiniMax M2.5 or Qwen3 Coder 480B A35B?
Qwen3 Coder 480B A35B, with 262K tokens against 205K.
How many benchmarks is the MiniMax M2.5 vs Qwen3 Coder 480B A35B comparison based on?
46 benchmarks have a result for both models as of October 21, 2026. MiniMax M2.5's coding index rests on 2 independent benchmarks and Qwen3 Coder 480B A35B's on 2. Where only one model has a result, the page says so instead of naming a winner.